Abstract #2235

Reducing pulsatile artefact in TOF sequence using CNN

Qiaoyi Xue¹, Jianmin Yuan¹, Haodong Qin², Hui Liu¹, Ran Huo³, and Huishu Yuan³

¹Central Research Institute, United Imaging Healthcare Group, United Imaging Healthcare, Shanghai, China, ²Magnetic Resonance Business Unit, United Imaging Healthcare, Shanghai, China, ³Department of Radiology, Peking University Third Hospital, Beijing, China

Time-of-flight (TOF) sequence is a non-contrast enhancing blood vessel imaging technique critical for vessel wall analysis. However, the periodical pulsation in the vessels, especially arteries, often causes pulsatile artifact along the phase encoding direction in the image. This degrades image quality and brings difficulty for diagnosis. The purpose of this work is to develop a convolutional neural network (CNN) method to reduce the pulsatile artefact in TOF sequence.

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